Abbas Reem, Paudel Biswash, Yee Lily, Sinha Roopak, Parry Dave
School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand.
Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand.
J R Soc N Z. 2024 Oct 9;55(6):1757-1775. doi: 10.1080/03036758.2024.2403451. eCollection 2025.
In large-scale emergencies and disasters, real-time situation awareness around health resources can be lifesaving. Understanding the situation at hand, the pressing needs and the actions needed often using information systems that require manual data entry. Relying on humans to enter data manually during surge response is both error-prone and an impediment to the critical requirement of real-time situation awareness. This paper explores the potential of Ultra-High Frequency Radio Frequency Identification (UHF RFID) technology to automate the process of manual data entry followed in providing situation awareness related to critical care resources during surge response. Using design science, an RFID-based prototype was developed to identify and track intensive care resources in real-time. The system was tested in a simulated hospital ward environment to understand deployment challenges and a dashboard was developed to reflect real-time data from multiple sources simultaneously. When properly deployed, UHF RFID can be a viable approach to automating critical care reporting during surge response. Automating routine processes can enhance data quality and minimise workload on health professionals leading to better patient care and evidence based decision-making.
在大规模紧急情况和灾难中，围绕卫生资源的实时态势感知可能会挽救生命。了解当前情况、紧迫需求以及通常使用需要人工数据录入的信息系统所需采取的行动。在应对高峰需求期间依靠人工输入数据既容易出错，又妨碍实时态势感知这一关键要求。本文探讨了超高频射频识别（UHF RFID）技术在应对高峰需求期间自动执行人工数据录入过程的潜力，该过程用于提供与重症护理资源相关的态势感知。利用设计科学，开发了一个基于RFID的原型，以实时识别和跟踪重症护理资源。该系统在模拟医院病房环境中进行了测试，以了解部署挑战，并开发了一个仪表板以同时反映来自多个来源的实时数据。如果部署得当，UHF RFID可以成为在应对高峰需求期间自动执行重症护理报告的可行方法。自动化常规流程可以提高数据质量，并将卫生专业人员的工作量降至最低，从而实现更好的患者护理和基于证据的决策。
